NDLI: Multiscale adaptive estimation for fusing interferometric radar and laser altimeter data

Content Provider	IEEE Xplore Digital Library
Author	Slatton, K.C. Crawford, M. Evans, B.L.
Copyright Year	2001
Description	Author affiliation: Center for Space Res., Texas Univ., Austin, TX, USA (Slatton, K.C.)
Abstract	Interferometric synthetic aperture radar (INSAR) data are fused with laser altimeter (LIDAR) data to produce improved estimates of bare-surface topography and vegetation heights. The data from both sensors are first transformed into estimates of surface elevations and vegetation heights to obtain linear measurement-state relations. A spatially-adaptive multiscale estimation framework is then used to combine the data, which were acquired at different resolutions. The estimation is performed in scale and space via a set of Kalman filters. It yields better error characteristics than the nonadaptive multiscale filter and accommodates non-stationarity in the image data.
Starting Page	879
Ending Page	881
File Size	237027
Page Count	3
File Format	PDF
ISBN	0780370317
DOI	10.1109/IGARSS.2001.976667
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laser radar Adaptive estimation Synthetic aperture radar interferometry Vegetation mapping Surface topography Kalman filters Noise measurement Spatial resolution Inverse problems Radar scattering
Content Type	Text
Resource Type	Article

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Multiscale adaptive estimation for fusing interferometric radar and laser altimeter data